A strong invariance principle for associated random fields

dc.creatorBalan, Raluca M.
dc.date2005-03-29
dc.date.accessioned2026-07-07T05:18:36Z
dc.date.available2026-07-07T05:18:36Z
dc.descriptionIn this paper we generalize Yu's [Ann. Probab. 24 (1996) 2079-2097] strong invariance principle for associated sequences to the multi-parameter case, under the assumption that the covariance coefficient u(n) decays exponentially as n\to \infty. The main tools that we use are the following: the Berkes and Morrow [Z. Wahrsch. Verw. Gebiete 57 (1981) 15-37] multi-parameter blocking technique, the Csorgo and Revesz [Z. Wahrsch. Verw. Gebiete 31 (1975) 255-260] quantile transform method and the Bulinski [Theory Probab. Appl. 40 (1995) 136-144] rate of convergence in the CLT.
dc.descriptionPublished at http://dx.doi.org/10.1214/009117904000001071 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0503661
dc.identifierhttp://arxiv.org/abs/math/0503661
dc.identifierAnnals of Probability 2005, Vol. 33, No. 2, 823-840
dc.identifierdoi:10.1214/009117904000001071
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/74716
dc.subjectProbability
dc.subject60F17, 60G60 (Primary) 60K35. (Secondary)
dc.titleA strong invariance principle for associated random fields
dc.typetext

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